Online Intrusion Detection for Internet of Things Systems With Full Bayesian Possibilistic Clustering and Ensembled Fuzzy Classifiers.
Saved in:
| Title: | Online Intrusion Detection for Internet of Things Systems With Full Bayesian Possibilistic Clustering and Ensembled Fuzzy Classifiers. |
|---|---|
| Authors: | Li, Fang-Qi1, solour_lfq@sjtu.edu.cn, Zhao, Rui-Jie1, ruijiezhao@sjtu.edu.cn, Wang, Shi-Lin1, wsl@sjtu.edu.cn, Chen, Li-Bo1, bob777@sjtu.edu.cn, Liew, Alan Wee-Chung2, a.liew@griffith.edu.au, Ding, Weiping3, ding.wp@ntu.edu.cn |
| Source: | IEEE Transactions on Fuzzy Systems; Nov2022, Vol. 30 Issue 11, p4605-4617, 13p |
| Database: | Applied Science & Technology Source |
| ISSN: | 10636706 |
|---|---|
| DOI: | 10.1109/TFUZZ.2022.3165390 |